• Journal of Environmental Health Sciences
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• v.32 no.3
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• pp.215-221
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• 2006

This study investigated the inactivation of the total coliform, an indicator organism in chlorine dioxide, in order to assess the optimal disinfection procedure for drinking water treatment and distribution systems. This research focus on a number of factors, including the dosage of disinfectant, contact time, pH, temperature and DOC. Water samples were taken from the outlet of a settling basin at a conventional surface water treatment system. As the pH increased in the range of pH 6-9, the bactericidal effects of disinfectants decreased. Changes in levels of pH did not significantly after the disinfection effect of chlorine dioxide for total coliform. With an increase in temperature, there was a subsequent increase in the bactericidal effects of disinfectants. Thus, it is evident that a decrease in temperature will higher the CT values required to inactivate coliform for during the winter. DOC addition can also reduce total coliform inactivation. DOC is the most significant variable in total coliform inactivation with chlorine dioxide.

• Journal of Information Technology Applications and Management
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• v.31 no.4
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• pp.121-137
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• 2024

This research studies NPCs applied by Generative Pre-trained Transformer (GPT) Technology. This study set three independent variables as characteristics of the NPCs applied GPT. User immersion is set as a mediator variable, while user game satisfaction and loyalty are chosen as dependent variables. The Stimulus-Organism-Response (SOR) theory is employed to study user attitude changes, and immersion is examined through the Flow Theory. The study found that interactions between NPCs and users directly and indirectly influence user satisfaction and loyalty. This suggests that NPCs capable of providing users with desired information, rather than merely following predetermined protocols, can enhance the user's affinity for the game. Furthermore, the intelligence and human-likeness of NPCs were found to indirectly influence satisfaction and loyalty through immersion. These findings underscore the importance of GPT-applied NPCs in the gaming industry, with potential implications for the future development and enhancement of such NPCs within games.

• Journal of Microbiology and Biotechnology
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• v.10 no.3
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• pp.367-374
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• 2000

The composition of dissolved gases and nutrients in a liquid medium were determined for establishment of the optimum conditions for in vitro culture of Helicobacter pylori. A microaerobic condition facored by the organism was prepared by adjusting the partial pressure of the gas, agitation speed, and viscosity of the medium. The gaseous concentrations were controlled by utilizing CampyPak Plus that reduced oxygen while augmenting carbon dioxide. Agitation of the broth facilitated the oxygen transfer to the cells, yet inhibited the growth at high rates. An increase of viscosity in the medium repressed the culture although this variable was relatively insignificant. The chemical constituents of the liquid broth were examined to establish an economic model for H. pylori cultivation. The microbe required a neutral pH for optimum growth, and yet was also able to proliferate in an acidic condition, presumably by releasing the acidity-modulating enzyme, urease. Cyclodextrin and casamino acid were investigated as growth enhancers in place of serum, while yeast extract unexpectedly inhibited the cells. A low concentration of glucose, the unique carbon source for the organism, increased the cell density, yet high concentrations resulted in an adverse effect. Under optimally dissolved gas conditions, the cell concentration in brucella broth supplemented with serum substitutes and glucose reached $1.6{\times}10^8$ viable cells/ml which was approximately 50% higher than that obtained in the liquid medium added with only cyclodextrin or serum.

• Pediatric Infection and Vaccine
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• v.9 no.1
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• pp.100-103
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• 2002

Streptococcus milleri Goup Bacteria(SMG) comprise three species, Streptococcus anginosus, Streptococcus intermedius, Streptococcus constellatus. Although they are commensal organism, they can be pathogenic. SMG can be aggressive pathogen in the head and neck with a propensity for abscess formation and local extension of the infection. SMG is culturally and biochemically variable, which makes it hard for the clinicians to recognize it. Hence, it seems that this organism has been relatively neglected. Most of the Lancefield F streptococci are SMG. We report one patient who had Group F streptococcal bacteremia and subdural abscess. According to his medical history, he was diagnosed as membranoproliperative glomerulonephritis three years ago. He complained headache although he was treated by appropiate antibiotics. Brain CT was used as a tool to identify the brain abscess. He had surgical drainage and was treated with IV antibiotics postoperatively.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.27 no.4
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• pp.361-370
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• 1982

The effects of climatic factors on organisms lire variable and complex, and it, however, can be interpreted in terms of those on the distribution and those on the population densities. The distribution of an organism may largely be determined by the temperatures, except some temporal organisms which are depended on the air mass movements. Population density of an organism is determined by various climatic factors, such as previous winter temperature, temperature of growing season and rainfall. The start of growing season of the rice plants has been shifted to earlier since last decade in Korea. This may mean that the overall climatic condition during the growing season might be considerably different from those in past years, and such a difference in climatic conditions might have close relation with the recent status of the diseases and insect pests through direct effects on the physiology and population dynamics of the organisms, as well as through on the biotic associations of the pest organisms. The white back planthopper and brown planthopper have become the key insect pests in Korea in recent years. They are migratory and have high reproductive pontentials and more generations than average residential insects. The synchronization of the migrants and physiological condition of the rice plants seems to be the important factors in relation to the recent outbreaks of these insects; the high reproductive rate can be obtained with the growth stage of rice being 30-50 days after transplanting. The modication of the microclimate associated with high plant density and some other introduced new cultural techniques also have some relation with the outbreak. The key diseases of the rice are the blast disease, sheath blight and the bacterial leaf blight. For the rice blast, the seedling blast and leaf blast during the early growing season and the neck blast, have become more serious, the former may be related to hotbed nursery and the later may be related to the high humidity in early August, and synchronization of the heading time which has been shifted to early part from middle or late part of August. In general, for the rice diseases, the development of the new races have been the most serious which are largely resulted from the introduction of the new varieties, but it also seems to be related with the prolonged periods of the favorable condition associated with the shifted growing seasons. In general, the diseases and insect pest problems have become much more variable and complex, and control measures should be based on the thorough knowledge of the ecology of the pest organisms, that is, effects of various environmental factors on the disease cycle; spore release, spore deposition, infection, colonization and sporulation of the disease organisms, and those on the development, reproductive potentials, dispersal, age specific responses of the insects. The well organized real-time pest management systems, such as alfalfa weevil management system developed at the Purdue University in U.S., is the prime importance for the implementation of the pest management principles.

• Journal of Microbiology and Biotechnology
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• v.20 no.2
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• pp.410-414
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• 2010

A bacterial strain, 13-$25^T$ with xylanolytic activity isolated from a single soil sample, was characterized with respect to its phenetic and phylogenetic characteristics. The cells of the isolate are Gram-staining variable rods, but spore formation was not observed. This strain is catalase- and oxidase-positive, and able to degrade starch and xylan. The predominant fatty acids are anteiso-$C_{15:0}$, $C_{16:0}$, and iso-$C_{16:0}$. The major respiratory quinone is menaquinone 7(MK-7), with a polar lipid profile consistent with the genus Cohnella. The DNA G+C content is 54.3 mol%. The 168 rRNA gene sequence analysis indicates that this organism belongs to the genus Cohnella, with Cohnella panacarvi as the closest phylogenetic neighbor. Low levels of 168 rRNA gene sequence similarity (<97.0%) with respect to other taxa with published names and the identification of distinctive phenetic features in the isolate indicate that the strain 13-$25^T$ represents a novel species of the genus Cohnella, for which the name Cohnella damensis sp. novo is proposed. The type strain is 13-$25^T$ (=CCTCC AB $208103^T$=KCTC $13422^T$).

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2000.11a
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• pp.59-60
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• 2000

The past few years have seen a dramatic increase in gene expression data on the basis of DNA microarrays or DNA chips. Going beyond a generic view on the genome, microarray data are able to distinguish between gene populations in different tissues of the same organism and in different states of cells belonging to the same tissue. This affords a cell-wide view of the metabolic and regulatory processes under different conditions, building an effective basis for new diagnoses and therapies of diseases. In this talk we present machine learning techniques for effective mining of DNA microarray data. A brief introduction to the research field of machine learning from the computer science and artificial intelligence point of view is followed by a review of recently-developed learning algorithms applied to the analysis of DNA chip gene expression data. Emphasis is put on graphical models, such as Bayesian networks, latent variable models, and generative topographic mapping. Finally, we report on our own results of applying these learning methods to two important problems: the identification of cell cycle-regulated genes and the discovery of cancer classes by gene expression monitoring. The data sets are provided by the competition CAMDA-2000, the Critical Assessment of Techniques for Microarray Data Mining.

• Proceedings of the Korean Society of Veterinary Pathology Conference
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• 2002.11a
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• pp.12-20
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• 2002

1. 질병명 : Interstitial pneumonia 2. 본질명의 개요 역사 및 역학 Michael R Elwell, Joel F Mahler, G N Rao: “ Have You Seen This\ulcorner" ; Inflammatory Lesions in the Lungs of Rats. Toxicologic Pathology, 25: 529-531, 1997. Male and female F344 rats, approximately 19 weeks old, from prechronic toxicity studies performed for NTP/NIEHS over a period of several years at different laboraories located throughout the US. The rats were supplied by 2 different production colonies located in the eastern and western areas of the US. Gross findings ㆍ In some rats the lesions were noted as pale or tan foci in the lungs Microscopic findings ㆍ A prominent increase in perivascular lymphocytes ㆍ A variable increase in the amount of peribronchiolar lymphoid tissues ㆍ Frequently an inflammatory cell exudate within the alveolar spaces ㆍ Focal hyperplasia of alveolar type 2 cells Similar lung lesions were not observed in B6C3F1 mice concurrently on study with affected rats. Similar lung lesions were not observed in F344 rats at the end of 2-year NTP studies. Virus, mycoplasma, bacterial serology, bacterial culture, protozoal identification: negative EM: ㆍ No virus particles were identified. ㆍ Rod shaped bacteria were observed in the alveolar spaces. ㆍ Bacteria were not observed in the bronchi/ bronchioles of rats with alveolar organism. (omitted)

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.939-950
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• 2021

The purpose of this study was to measure the significance and contribution of sensory appeal, lifestyle, and health motive in determining coffee drink consumption. The theory adopted is the SOR (stimulus-organism-response) theory and the AISAS (attention-interest-search-action-share) model approach. Data was collected online in April-May 2020, and obtained 413 valid respondent data. The data were processed using SEM (Structural Equation Modeling) framework. The results showed that the variable sensory appeal of coffee drinks, lifestyle variables and health motive variables had a significant effect on coffee consumption. Of the 13 hypotheses proposed, nine hypotheses are accepted and four hypotheses are rejected. Sensory appeal has a positive effect on attitude and action of coffee consumption. Lifestyle has a positive effect on attitude, search, and action, whereas health motive has a positive effect on attitude of coffee consumption. Lifestyle variables have the greatest role in determining coffee consumption, followed by health motive variables and sensory appeal of coffee drinks. The SOR theory and the AISAS approach can both be used to analyze coffee drinking behavior. The research suggests that, to increase coffee consumption, a marketing approach should touch the lifestyle of the community and increase the promotion of the health aspects of coffee drinks.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.3
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• pp.513-529
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• 2022

Based on the stimulus-organism-response model, this study investigated the effects of three types of green performance appeals (i.e., before-, after-, and before/after-appeals) on consumer word of mouth (WOM) mediated by anticipatory hope. As the degree of consumer susceptibility to advertising varies by individual, individual perceived consumer effectiveness (PCE) was examined as a moderated mediating variable. A total of 191 responses were analyzed using SPSS 27.0 for analysis of variance and PROCESS procedure. Results showed the mediating role of anticipatory hope between advertising appeals and WOM: participants reported greater anticipatory hope when they viewed the advertisement with after- and before/after-appeals. This mediation was moderated by participants' PCE. The effect of green performance appeals on WOM was mediated by participants' anticipatory hope when their PCE was low; however, when participants' PCE was high, the mediation was not significant. The findings show that advertising appeals highlighting the effectiveness of green performance can attract consumers who do not believe that product consumption affects a sustainable environment and spread WOM. This research provides insights to fashion brands by suggesting effective green advertising strategies that can increase consumers' voluntary information-sharing behavior.